Abstract: This is the development of a system that has been made, FMCW radar for human or patient breathing which will then determine the type of disease or disorder in the patient just by looking at the type of breathing. This research uses data from FMCW Radar for human or patient breathing, which is then converted to data that can be read in real-time by the public, doctors, or medical teams through a web server; the web server used is iotmedis.brin.go.id. The novelty of this study is that various types of respiratory data are taken from various points so that it will cause new analysis, namely the process of transmitting data on server traffic or uplink and downlink processes. Specific data and research novelty is how Multi patient respiratory data from OmnipreSense or FMCW Radar can be processed by a microprocessor using MQTT, and multi-patient data can be displayed on the server in real-time.

Rizky Rahmatullah, Puput Dani Prasetyo Adi, Suisbiyanto Prasetya, Arief Budi Santiko, Yuyu Wahyu, B.Berlian Surya Wicaksana, Stevry Yushady CH Bissa, Riyani Jana Yanti and Aloysius Adya Pramudita. “Analyze Transmission Data from a Multi-Node Patient's Respiratory FMCW Radar to the Internet of Things”. International Journal of Advanced Computer Science and Applications (IJACSA) 14.5 (2023). http://dx.doi.org/10.14569/IJACSA.2023.0140521

@article{Rahmatullah2023,
title = {Analyze Transmission Data from a Multi-Node Patient's Respiratory FMCW Radar to the Internet of Things},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140521},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140521},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {5},
author = {Rizky Rahmatullah and Puput Dani Prasetyo Adi and Suisbiyanto Prasetya and Arief Budi Santiko and Yuyu Wahyu and B.Berlian Surya Wicaksana and Stevry Yushady CH Bissa and Riyani Jana Yanti and Aloysius Adya Pramudita}
}